RWA Evaluative Conditioning Data Analysis

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This repository contains data and scripts for data analysis for the following article:

Bret, A., Beffara, B., Mierop, A., & Mermillod, M. (2017, November 16). Differentiated evaluation of counter-conditioned stimuli as a function of right-wing authoritarianism. https://doi.org/10.31234/osf.io/3mfa8

Description of the different files and folders in the root of the repository:

• Bayes_R2_MZ_function.R → a function to compute R2 for Bayesian ordinal models
• effect_sizes.R → script used to compute effect sizes for our models/parameters of interest
• ida → folder containing scripts for data analyses associated with the first IDA of the article (counter-conditioning)
• ida_CE → folder containing scripts for data analyses associated with the second IDA of the article (conditioning)
• xpXX → There is one folder for each experiment. Each folder contains scripts for data analyses for each individual study but these scripts are not useful in the context of the present article since only IDAs ar included. However raw data for each individual study can be found in these folders.

Description of the different files and sub-folders in the ida and ida_CE folder:

The name of the scripts start by a number. When running scripts for the first time, scripts should be run in the order indicated by these numbers.

• 01_merge_files.R → merges the .csv files (data frames) of each study ofr the IDA
• 02a_models_interaction.R → Bayesian ordinal models analysing the interaction between RWA and Valence for each individual study and the IDA.
• 02b_models_simple_neg.R → Bayesian ordinal models analysing the asociation between RWA and evaluation in the negative valence condition for each individual study and the IDA.
• 02c_models_simple_pos.R → Bayesian ordinal models analysing the asociation between RWA and evaluation in the positive valence condition for each individual study and the IDA.
• 03_lme4_models_ida.R → Frequentist metric models analysing the interaction between RWA and Valence for each individual study and the IDA (not necessary, analyses not included in the article).
• 04a_marg_plots_fitted_IDA → Plots from Bayesian ordinal models (e.g. see below)
• 04b_marg_plots_linear_IDA.R → Spaghetti plots from Bayesian ordinal models
• 04c_plot_point_IDA.R → Plot data points and merge the spaghetti plot with the data plot (e.g. see below)
• 05a_plot_ida_interact.R → Forest plot for the interaction (e.g. see below)
• 05b_plot_ida_simple_neg.R → Forest plot for the simple slope of RWA in the negative condition (e.g. see below)
• 05a_plot_ida_simple_pos.R → Forest plot for the simple slope of RWA in the positive condition (e.g. see below)
• 05a_plot_ida_simple_pos.R and kable_param_ida.Rmd → Produces html tables for the results of the IDA (e.g. see below). This script should be ignored as it is no longer used in the final version of the article.
• plots → Contains the plots of the article
• tables → Contained the tables of the article. This folder should be ignored as it is no longer used in the final version of the article.
• XPXX.csv → Data frame for each individual study